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Dive into the research topics where Crystal G. Connor is active.

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Featured researches published by Crystal G. Connor.


Pediatric Diabetes | 2016

Presentation of youth with type 2 diabetes in the Pediatric Diabetes Consortium

Georgeanna J. Klingensmith; Crystal G. Connor; Katrina J. Ruedy; Roy W. Beck; Craig Kollman; Heidi Haro; Jamie R. Wood; Joyce M. Lee; Steven M. Willi; Eda Cengiz; William V. Tamborlane

Type 2 diabetes (T2D) in youth is recognized as a pediatric disease, but few reports describe the characteristics during diagnosis. We describe the clinical presentation of 503 youth with T2D.


JAMA Ophthalmology | 2016

Association of Baseline Visual Acuity and Retinal Thickness With 1-Year Efficacy of Aflibercept, Bevacizumab, and Ranibizumab for Diabetic Macular Edema

John A. Wells; Adam R. Glassman; Lee M. Jampol; Lloyd Paul Aiello; Andrew N. Antoszyk; Carl Baker; Neil M. Bressler; David J. Browning; Crystal G. Connor; Michael J. Elman; Frederick L. Ferris; Scott M. Friedman; Michele Melia; Dante J. Pieramici; Jennifer K. Sun; Roy W. Beck

IMPORTANCE Comparisons of the relative effect of 3 anti-vascular endothelial growth factor agents to treat diabetic macular edema warrant further assessment. OBJECTIVE To provide additional outcomes from a randomized trial evaluating 3 anti-vascular endothelial growth factor agents for diabetic macular edema within subgroups based on baseline visual acuity (VA) and central subfield thickness (CST) as evaluated on optical coherence tomography. DESIGN, SETTING, AND PARTICIPANTS Post hoc exploratory analyses were conducted of randomized trial data on 660 adults with diabetic macular edema and decreased VA (Snellen equivalent, approximately 20/32 to 20/320). The original study was conducted between August 22, 2012, and August 28, 2013. Analysis was conducted from January 7 to June 2, 2015. INTERVENTIONS Repeated 0.05-mL intravitreous injections of 2.0 mg of aflibercept (224 eyes), 1.25 mg of bevacizumab (218 eyes), or 0.3 mg of ranibizumab (218 eyes) as needed per protocol. MAIN OUTCOMES AND MEASURES One-year VA and CST outcomes within prespecified subgroups based on both baseline VA and CST thresholds, defined as worse (20/50 or worse) or better (20/32 to 20/40) VA and thicker (≥400 µm) or thinner (250 to 399 µm) CST. RESULTS In the subgroup with worse baseline VA (n = 305), irrespective of baseline CST, aflibercept showed greater improvement than bevacizumab or ranibizumab for several VA outcomes. In the subgroup with better VA and thinner CST at baseline (61-73 eyes across 3 treatment groups), VA outcomes showed little difference between groups; mean change was +7.2, +8.4, and +7.6 letters in the aflibercept, bevacizumab, and ranibizumab groups, respectively. However, in the subgroup with better VA and thicker CST at baseline (31-43 eyes), there was a suggestion of worse VA outcomes in the bevacizumab group; mean change from baseline to 1 year was +9.5, +5.4, and +9.5 letters in the aflibercept, bevacizumab, and ranibizumab groups, respectively, and VA letter score was greater than 84 (approximately 20/20) in 21 of 33 (64%), 7 of 31 (23%), and 21 of 43 (49%) eyes, respectively. The adjusted differences and 95% CIs were 39% (17% to 60%) for aflibercept vs bevacizumab, 25% (5% to 46%) for ranibizumab vs bevacizumab, and 13% (-8% to 35%) for aflibercept vs ranibizumab. CONCLUSIONS AND RELEVANCE These post hoc secondary findings suggest that for eyes with better initial VA and thicker CST, some VA outcomes may be worse in the bevacizumab group than in the aflibercept and ranibizumab groups. Given the exploratory nature of these analyses and the small sample size within subgroups, caution is suggested when using the data to guide treatment considerations for patients. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01627249.


Pediatric Diabetes | 2014

Pediatric Diabetes Consortium Type 1 Diabetes New Onset (NeOn) Study: Factors associated with HbA1c levels one year after diagnosis

Maria J. Redondo; Crystal G. Connor; Katrina J. Ruedy; Roy W. Beck; Craig Kollman; Jamie R. Wood; Bruce Buckingham; Georgeanna J. Klingensmith; Janet H. Silverstein; William V. Tamborlane

To identify determinants of hemoglobin A1c (HbA1c) levels 1 yr after the diagnosis of type 1 diabetes (T1D) in participants in the Pediatric Diabetes Consortium (PDC) T1D New Onset (NeOn) Study.


Diabetes Care | 2017

The Fallacy of Average: How Using HbA1c Alone to Assess Glycemic Control Can Be Misleading

Roy W. Beck; Crystal G. Connor; Deborah M. Mullen; David M. Wesley; Richard M. Bergenstal

HbA1c is a valuable metric for comparing treatment groups in a randomized trial, for assessing glycemic trends in a population over time, or for cross-sectional comparisons of glycemic control in different populations. However, what is not widely appreciated is that HbA1c may not be a good indicator of an individual patient’s glycemic control because of the wide range of mean glucose concentrations and glucose profiles that can be associated with a given HbA1c level. To illustrate this point, we plotted mean glucose measured with continuous glucose monitoring (CGM) versus central laboratory–measured HbA1c in 387 participants in three randomized trials, showing that not infrequently HbA1c may underestimate or overestimate mean glucose, sometimes substantially. Thus, if HbA1c is to be used to assess glycemic control, it is imperative to know the patient’s actual mean glucose to understand how well HbA1c is an indicator of the patient’s glycemic control. With knowledge of the mean glucose, an estimated HbA1c (eA1C) can be calculated with the formula provided in this article to compare with the measured HbA1c. Estimating glycemic control from HbA1c alone is in essence applying a population average to an individual, which can be misleading. Thus, a patient’s CGM glucose profile has considerable value for optimizing his or her diabetes management. In this era of personalized, precision medicine, there are few better examples with respect to the fallacy of applying a population average to a specific patient rather than using specific information about the patient to determine the optimal approach to treatment.


Diabetes Technology & Therapeutics | 2013

Race, socioeconomic status, and treatment center are associated with insulin pump therapy in youth in the first year following diagnosis of Type 1 diabetes

Maria H. Lin; Crystal G. Connor; Katrina J. Ruedy; Roy W. Beck; Craig Kollman; Bruce Buckingham; Maria J. Redondo; Desmond A. Schatz; Heidi Haro; Joyce M. Lee; William V. Tamborlane

BACKGROUND Increasing numbers of children and adolescents with type 1 diabetes (T1D) have been placed on insulin pump therapy. Nevertheless, data are limited regarding patterns of pump use during the first year of treatment and the clinical and socioeconomic factors associated with early use of pump therapy. Therefore, we sought to determine factors associated with pump therapy within the first year of diagnosis in youth enrolled in the Pediatric Diabetes Consortium (PDC) T1D New-Onset (NeOn) Study. SUBJECTS AND METHODS The NeOn Study includes youth <19 years old at T1D diagnosis who have been followed from the time of diagnosis at seven U.S. pediatric diabetes centers. Cox regression was used to determine factors associated with transition from injection to pump therapy during the first year of T1D in 1,012 participants. RESULTS Twenty-seven percent (n=254) of participants began pump therapy within the first year of diagnosis, ranging from 18% to 59% among the seven centers. After adjusting for center effect, factors associated with pump use in multivariate analysis included private health insurance (37% vs. 7%; P<0.001), having annual household income over


Pediatric Diabetes | 2014

Pediatric diabetes consortium T1D New Onset (NeOn) study: clinical outcomes during the first year following diagnosis.

Eda Cengiz; Crystal G. Connor; Katrina J. Ruedy; Roy W. Beck; Craig Kollman; Georgeanna J. Klingensmith; William V. Tamborlane; Joyce M. Lee; Michael J. Haller

100,000 (50% vs. 15%; P<0.001), and non-Hispanic white race (36% vs. 11%; P<0.001). The hemoglobin A1c level did not appear to influence the decision to initiate pump use. CONCLUSIONS Participants of non-Hispanic white race and higher socioeconomic status were more likely to be placed on pumps during the first year. Further investigations are needed to gain a better understanding of barriers to use of pumps in youth with T1D, especially in disadvantaged and minority families.


Diabetes Research and Clinical Practice | 2016

Type 1 diabetes in older adults: Comparing treatments and chronic complications in the United States T1D Exchange and the German/Austrian DPV registries

Ruth S. Weinstock; Ingrid Schütz-Fuhrmann; Crystal G. Connor; Julia M. Hermann; David M. Maahs; Morten Schütt; Shivani Agarwal; Sabine E. Hofer; Roy W. Beck; Reinhard W. Holl

There have been few prospective, multicenter studies investigating the natural history of type 1 diabetes (T1D) from the time of diagnosis. The objective of this report from the Pediatric Diabetes Consortium (PDC) T1D New Onset (NeOn) study was to assess the natural history and clinical outcomes in children during the first year after diagnosis of T1D.


Pediatric Diabetes | 2016

C-peptide levels in pediatric type 2 diabetes in the Pediatric Diabetes Consortium T2D Clinic Registry

Brigid Gregg; Crystal G. Connor; Peiyao Cheng; Katrina J. Ruedy; Roy W. Beck; Craig Kollman; Desmond A. Schatz; Eda Cengiz; William V. Tamborlane; Georgeanna J. Klingensmith; Joyce M. Lee

AIMS Compare characteristics, therapies and clinical outcomes in older adults with type 1 diabetes in the United States T1D Exchange (T1DX) and German/Austrian Diabetes Patienten Verlaufsdokumentation (DPV) registries. METHODS Cross-sectional study of adults ≥60years old with type 1 diabetes seen in 2011-2012 in the T1DX (n=1283) and DPV (n=2014) registries. Wilcoxon rank-sum test was used for continuous variables and chi-square test for categorical variables. Adjusted analyses used generalized linear models. RESULTS Individuals in both registries were similar in body mass index (mean 27kg/m2), percent with obesity (25%) and gender (48% male). In T1DX there was longer diabetes duration (32.3 vs. 28.8years), greater use of antihypertensive medications (including ACE-I and ARBs; 85% vs. 62%), statins (68% vs. 40%), aspirin (77% vs. 21%), insulin pumps (58% vs. 18%), and less smoking (7% vs. 10%); lower adjusted mean LDL-cholesterol (84 vs. 109mg/dL), and lower adjusted mean systolic and diastolic blood pressures (128 vs. 136 and 68 vs. 74mmHg); fewer myocardial infarctions (6% vs. 9% [99% CI of difference, 1% to 5%]), strokes (2% vs. 8% [3% to 7%]), microvascular complications including microalbuminuria (17% vs. 44% [22% to 32%]) but increased depression (16.1% vs. 8.7%). Adjusted mean HbA1c levels were similar (7.5%, 58mmol/mol). CONCLUSIONS Differences between the registries included greater use of antihypertensives, statins and insulin pumps, and fewer chronic complications in the T1DX. Further research is needed to better understand the role of intensive therapy in improving outcomes in older adults with type 1 diabetes.


Pediatric Diabetes | 2016

Vitamin D status in youth with type 1 and type 2 diabetes enrolled in the Pediatric Diabetes Consortium (PDC) is not worse than in youth without diabetes

Jamie R. Wood; Crystal G. Connor; Peiyao Cheng; Katrina J. Ruedy; William V. Tamborlane; Georgeanna J. Klingensmith; Desmond A. Schatz; Brigid Gregg; Eda Cengiz; Steven M. Willi; Fida Bacha; Roy W. Beck

To describe C‐peptide levels in a large cohort of children with type 2 diabetes T2D and examine associations with demographic and clinical factors.


Diabetes Research and Clinical Practice | 2018

Eating patterns and food intake of persons with type 1 diabetes within the T1D exchange

Margaret A. Powers; Robin L. Gal; Crystal G. Connor; Meg Mangan; David M. Maahs; Mark A. Clements; Elizabeth J. Mayer-Davis

To describe vitamin D levels and prevalence of vitamin D sufficiency, insufficiency and deficiency in a large, ethnically/racially diverse population of youth with type 1 diabetes (T1D) and type 2 diabetes (T2D) in comparison to national data and examine the associations between clinical/demographic factors and vitamin D levels.

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Roy W. Beck

University of South Florida

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Katrina J. Ruedy

Washington University in St. Louis

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Craig Kollman

National Marrow Donor Program

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Jamie R. Wood

Children's Hospital Los Angeles

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